Senior Data/Product Analyst (Localization) - Articulate

Job Title: Senior Data/Product Analyst (Localization)
Job Location: United States
Job Listing URL: https://jobs.lever.co/articulate/7eaf4e42-1902-4bef-aa09-c97ad9d7f396
Job Description: Articulate is looking for a Senior Product Data Analyst to join our amazing Data team! As a Senior Product Analyst, you’ll collaborate closely with our Localization product team to collect and analyze data that helps us build the best experience for our customers. You will use structured and behavioral data to understand customer adoption, expansion, and long-term value, particularly for a newly launched product within our platform. This role will play a critical part in defining success metrics, evaluating trial strategy, identifying our ideal customer profile, and shaping our product analytics strategy and infrastructure for our Localization product.
What you'll do:
Partner with product managers, UX researchers, and engineers (and collaborate cross-functionally as needed) to define success metrics for a newly launched product, grounded in product usage behavior — including activation milestones, adoption depth, and behavioral signals of sustained value.
Conduct deep-dive analyses, using SQL, Looker, Mixpanel, Metabase, Python, or R, on adoption, segmentation, and trial experience to identify product-market fit signals and growth opportunities.
Develop clear, executive-ready reporting and narratives that distinguish usage from meaningful customer value and inform product investment decisions.
Build frameworks that connect product usage to long-term engagement and subscription value.
Synthesize quantitative data with qualitative insights to inform product strategy and shape feature roadmaps.
Collaborate with engineering teams to ensure reliable product event tracking and high-quality behavioral data.
Design and analyze experiments to evaluate onboarding, feature adoption, and workflow improvements.
Present insights and recommendations to senior leadership and guide high-visibility product discussions.
Contribute to and uphold team best practices for data modeling, visualization standards, and documentation.
What you should have:
5+ years of experience in data analysis, business intelligence, or a related quantitative field.
Experience partnering directly with product managers, UX researchers, and engineers to define metrics, design experiments, and support product discovery.
Demonstrated experience in product analytics for a B2B SaaS product, including funnel analysis, retention modeling, cohort analysis, and feature adoption metrics.
Experience supporting a new or emerging product (0→1 or early-stage growth), including defining success metrics from scratch.
Strong proficiency in SQL, including both ad-hoc querying and data modeling for analytical reporting, especially for event-level datasets and behavioral analytics.
Strong experience instrumenting and validating product usage event data, preferably using Segment or comparable customer data platforms.
Experience using a product analytics tool (Mixpanel or similar) to visualize user behavior funnels and analyze product dataAbility to validate data across complex or undocumented systems, ensuring accuracy and consistency across outputs.
Proven ability to translate ambiguous product and growth questions into structured analyses that inform product-market fit, segmentation, and investment strategy.
Ability to present insights clearly and confidently to cross-functional partners, including senior leadership and go-to-market teams.
Nice to haves:
Experience evaluating TAM, ICP definition, or market opportunity sizing using internal data.
Experience with at least one data visualization platform (Looker or Metabase preferred) with the ability to design intuitive dashboards and optimize reporting structures.
Experience working on international, multilingual, or globally distributed customer products is a plus.
Experience working with product experiment platforms and A/B testingFamiliarity with data engineering or analytics engineering concepts (e.g., dbt, ETL workflows, version control, data model documentation).
Experience with survey feedback analysis and qualitative analysis.